{"id":"W2996784256","doi":"10.1002/ece3.5790","title":"Food quality effects on instar‐specific life histories of a holometabolous insect","year":2020,"lang":"en","type":"article","venue":"Ecology and Evolution","topic":"Insect Pest Control Strategies","field":"Agricultural and Biological Sciences","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"Natural Sciences and Engineering Research Council of Canada; Queen's University; Canada Foundation for Innovation; Government of Ontario","keywords":"Instar; Biology; Juvenile; Fecundity; Weevil; Larva; Predation; Food quality; Insect; Ecology; Zoology; Population; Agronomy; Food science; Demography","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001548557,0.0000947811,0.0002271113,0.00001115451,0.000139692,0.000008768772,0.0000792834,0.0001305775,0.00004823895],"category_scores_gemma":[0.0002628792,0.00004245092,0.00004581046,0.0001659809,0.0001105401,0.00007337159,0.00002720095,0.0001143404,0.00001074033],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002994478,"about_ca_system_score_gemma":0.00001468762,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006293078,"about_ca_topic_score_gemma":0.0004834256,"domain_scores_codex":[0.9991899,0.0001965757,0.0001732667,0.0002041301,0.00007852972,0.0001575621],"domain_scores_gemma":[0.9994372,0.0003221793,0.00009951563,0.00003005072,0.00004102927,0.00006999803],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00205729,0.0002590836,0.2054143,0.0001199645,0.00009571085,0.000008071171,0.0012984,0.00002251796,0.6438634,0.1349729,0.001671313,0.01021705],"study_design_scores_gemma":[0.000283976,0.003175861,0.9904487,0.000002557171,0.000007719762,0.00000115729,0.0001373023,0.000007434705,0.0008066224,0.001591274,0.003447009,0.00009039146],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9949574,0.000838523,0.000004770347,0.003110476,0.0002280863,0.000148148,0.00001626557,0.00005068618,0.000645589],"genre_scores_gemma":[0.9992381,0.0000294004,0.00001628803,0.000470783,0.000212316,0.00001383193,0.000009803049,5.319775e-7,0.000008888927],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7850344,"threshold_uncertainty_score":0.1731098,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03116539913833799,"score_gpt":0.209916885975249,"score_spread":0.178751486836911,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}